Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33189, first published .
Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data

Journals

  1. Mazoteras-Pardo V, Gómez-Cantarino S, Ramírez-Jiménez M, Navarro-Flores E, Ugarte-Gurrutxaga M. Validations of Blood Pressure Measuring Devices Using Recognized Protocols. Journal of Personalized Medicine 2022;13(1):9 View
  2. Zhou L, He L, Kong Y, Lai Y, Dong J, Ma C. Effectiveness of mHealth interventions for improving hypertension control in uncontrolled hypertensive patients: A meta‐analysis of randomized controlled trials. The Journal of Clinical Hypertension 2023;25(7):591 View
  3. Sun T, Xu X, Ding Z, Xie H, Ma L, Zhang J, Xia Y, Zhang G, Ma Z. Development of a Health Behavioral Digital Intervention for Patients With Hypertension Based on an Intelligent Health Promotion System and WeChat: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e53006 View